Sentence examples for inputs and responses from inspiring English sources

The back-propagation neural network (BPN) is used in the third method to formulate the nonlinear relationship between the heating inputs and responses.

Passive energy dissipation has advantages such as low cost, easily predictable response, and ease of implementation, which can be offset by difficulty tuning or designing the devices for optimum behaviour over a range of inputs and responses.

In order to correlate relationship between process inputs and responses, an adaptive neuro-fuzzy inference system (ANFIS) has been employed to predict the process characteristics based on experimental observation.

To assure the accomplishment of cost savings without losing yield, the proposed grey-fuzzy Taguchi method is utilized with an L18 (21 × 37) experimental design and grey relational analysis (GRA) to evaluate the degree of relationship between process inputs and responses, followed by transforming the multiple quality characteristics into a single performance index using a fuzzy inference system.

The inputs and responses were measured in six different conditions: 0, 15, or 33 ng/mL RANKL with either 15 or 33 ng/mL MCSF.

Illustrative examples on critical inputs and response of sdof and a long-span suspended cable which demonstrated the various features of the approach developed are presented.

Fig. 6 Example of user input and responses: deterministic run.

Fig. 7 Example of user input and responses: stochastic run.

Or would some complicated, constant interplay of sensory input and response further fuse their personalities, rendering them ever more like one?

Also the statistic parameters of input and response variable are presented in Table 4.

Fig. 23 CMD0: input sequence and response pattern Fig. 24 CMD8: input sequence and response pattern Fig. 25 CMD55: input sequence and response pattern Fig. 26 ACMD41: input sequence and response pattern with single block read sequence Fig. 27 Idle mode input and response sequence.